N Große Hokamp1,2,3, A J Höink4, J Doerner4, D W Jordan5,6, G Pahn7, T Persigehl4, D Maintz4, S Haneder4. 1. Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany. nils.grosse-hokamp@uk-koeln.de. 2. Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA. nils.grosse-hokamp@uk-koeln.de. 3. Department of Radiology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. nils.grosse-hokamp@uk-koeln.de. 4. Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany. 5. Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA. 6. Department of Radiology, School of Medicine, Case Western Reserve University, Cleveland, OH, USA. 7. Philips Clinical Science CT, Hamburg, Germany.
Abstract
PURPOSE: To investigate a benefit from virtual monoenergetic reconstructions (VMIs) for assessment of arterially hyper-enhancing liver lesions in phantom and patients and to compare hybrid-iterative and spectral image reconstructions of conventional images (CI-IR and CI-SR). METHODS: All imaging was performed on a SDCT (Philips Healthcare, Best, The Netherlands). Images of a non-anthropomorphic phantom with a lesion-mimicking insert (containing iodine in water solution) and arterial-phase images from contrast-enhanced patient examinations were evaluated. VMIs (40-200 keV, 10 keV increment), CI-IR, and CI-SR were reconstructed using different strengths of image denoising. ROIs were placed in lesions, liver/matrix, muscle; signal-to-noise, contrast-to-noise, and lesion-to-liver ratios (SNR, CNR, and LLR) were calculated. Qualitatively, 40, 70, and 110 keV and CI images were assessed by two radiologists on five-point Likert scales regarding overall image quality, lesion assessment, and noise. RESULTS: In phantoms, SNR was increased threefold by VMI40keV compared with CI-IR/SR (5.8 ± 1.1 vs. 18.8 ± 2.2, p ≤ 0.001), while no difference was found between CI-IR and CI-SR (p = 1). Denoising was capable of noise reduction by 40%. In total, 20 patients exhibiting 51 liver lesions were assessed. Attenuation was the highest in VMI40keV, while image noise was comparable to CI-IR resulting in a threefold increase of CNR/LLR (CI-IR 1.3 ± 0.8/4.4 ± 2.0, VMI40keV: 3.8 ± 2.7/14.2 ± 7.5, p ≤ 0.001). Subjective lesion delineation was the best in VMI40keV image (p ≤ 0.01), which also provided the lowest perceptible noise and the best overall image quality. CONCLUSIONS: VMIs improve assessment of arterially hyper-enhancing liver lesions since they increase lesion contrast while maintaining low image noise throughout the entire keV spectrum. These data suggest that to consider VMI screening after arterially hyper-enhancing liver lesions.
PURPOSE: To investigate a benefit from virtual monoenergetic reconstructions (VMIs) for assessment of arterially hyper-enhancing liver lesions in phantom and patients and to compare hybrid-iterative and spectral image reconstructions of conventional images (CI-IR and CI-SR). METHODS: All imaging was performed on a SDCT (Philips Healthcare, Best, The Netherlands). Images of a non-anthropomorphic phantom with a lesion-mimicking insert (containing iodine in water solution) and arterial-phase images from contrast-enhanced patient examinations were evaluated. VMIs (40-200 keV, 10 keV increment), CI-IR, and CI-SR were reconstructed using different strengths of image denoising. ROIs were placed in lesions, liver/matrix, muscle; signal-to-noise, contrast-to-noise, and lesion-to-liver ratios (SNR, CNR, and LLR) were calculated. Qualitatively, 40, 70, and 110 keV and CI images were assessed by two radiologists on five-point Likert scales regarding overall image quality, lesion assessment, and noise. RESULTS: In phantoms, SNR was increased threefold by VMI40keV compared with CI-IR/SR (5.8 ± 1.1 vs. 18.8 ± 2.2, p ≤ 0.001), while no difference was found between CI-IR and CI-SR (p = 1). Denoising was capable of noise reduction by 40%. In total, 20 patients exhibiting 51 liver lesions were assessed. Attenuation was the highest in VMI40keV, while image noise was comparable to CI-IR resulting in a threefold increase of CNR/LLR (CI-IR 1.3 ± 0.8/4.4 ± 2.0, VMI40keV: 3.8 ± 2.7/14.2 ± 7.5, p ≤ 0.001). Subjective lesion delineation was the best in VMI40keV image (p ≤ 0.01), which also provided the lowest perceptible noise and the best overall image quality. CONCLUSIONS: VMIs improve assessment of arterially hyper-enhancing liver lesions since they increase lesion contrast while maintaining low image noise throughout the entire keV spectrum. These data suggest that to consider VMI screening after arterially hyper-enhancing liver lesions.
Authors: Tommaso D'Angelo; Giuseppe Cicero; Silvio Mazziotti; Giorgio Ascenti; Moritz H Albrecht; Simon S Martin; Ahmed E Othman; Thomas J Vogl; Julian L Wichmann Journal: Br J Radiol Date: 2019-04-09 Impact factor: 3.039
Authors: Kai Roman Laukamp; David Zopfs; Simon Lennartz; Lenhard Pennig; David Maintz; Jan Borggrefe; Nils Große Hokamp Journal: Eur Radiol Date: 2019-01-16 Impact factor: 5.315
Authors: Simon Lennartz; Nils Große Hokamp; Charlotte Zäske; David Zopfs; Grischa Bratke; Andreas Glauner; David Maintz; Thorsten Persigehl; De-Hua Chang; Tilman Hickethier Journal: Br J Radiol Date: 2020-07-24 Impact factor: 3.039
Authors: David Zopfs; Simon Lennartz; Nuran Abdullayev; Thorsten Lichtenstein; Kai Roman Laukamp; Robert Peter Reimer; Christoph Kabbasch; Jan Borggrefe; Marc Schlamann; Victor Neuhaus; Nils Große Hokamp Journal: Quant Imaging Med Surg Date: 2021-08
Authors: Jasmin A Holz; Hatem Alkadhi; Kai R Laukamp; Simon Lennartz; Carola Heneweer; Michael Püsken; Thorsten Persigehl; David Maintz; Nils Große Hokamp Journal: Sci Rep Date: 2020-12-09 Impact factor: 4.379
Authors: Roman Johannes Gertz; Felix Gerhardt; Jan Robert Kröger; Rahil Shahzad; Liliana Caldeira; Jonathan Kottlors; Nils Große Hokamp; David Maintz; Stephan Rosenkranz; Alexander Christian Bunck Journal: Front Cardiovasc Med Date: 2022-02-28
Authors: Robert Peter Reimer; Nils Große Hokamp; Julius Niehoff; David Zopfs; Simon Lennartz; Mariam Heidar; Roger Wahba; Dirk Stippel; David Maintz; Daniel Pinto Dos Santos; Christian Wybranski Journal: PLoS One Date: 2021-06-15 Impact factor: 3.240